A Parsing Scheme for Finding the Design Pattern and Reducing the Development Cost of Reusable Object Oriented Software

Because of the importance of object oriented methodologies, the research in developing new measure for object oriented system development is getting increased focus. The most of the metrics need to find the interactions between the objects and modules for developing necessary metric and an influential software measure that is attracting the software developers, designers and researchers. In this paper a new interactions are defined for object oriented system. Using these interactions, a parser is developed to analyze the existing architecture of the software. Within the design model, it is necessary for design classes to collaborate with one another. However, collaboration should be kept to an acceptable minimum i.e. better designing practice will introduce low coupling. If a design model is highly coupled, the system is difficult to implement, to test and to maintain overtime. In case of enhancing software, we need to introduce or remove module and in that case coupling is the most important factor to be considered because unnecessary coupling may make the system unstable and may cause reduction in the system's performance. So coupling is thought to be a desirable goal in software construction, leading to better values for external software qualities such as maintainability, reusability and so on. To test this hypothesis, a good measure of class coupling is needed. In this paper, based on the developed tool called Design Analyzer we propose a methodology to reuse an existing system with the objective of enhancing an existing Object oriented system keeping the coupling as low as possible.Comment: 15 page

Brain image clustering by wavelet energy and CBSSO optimization algorithm

Previously, the diagnosis of brain abnormality was significantly important in the saving of social and hospital resources. Wavelet energy is known as an effective feature detection which has great efficiency in different utilities. This paper suggests a new method based on wavelet energy to automatically classify magnetic resonance imaging (MRI) brain images into two groups (normal and abnormal), utilizing support vector machine (SVM) classification based on chaotic binary shark smell optimization (CBSSO) to optimize the SVM weights. The results of the suggested CBSSO-based KSVM are compared favorably to several other methods in terms of better sensitivity and authenticity. The proposed CAD system can additionally be utilized to categorize the images with various pathological conditions, types, and illness modes

Does credit improve the food consumption vulnerability of the extreme poor? - Empirical evidence from Bangladesh

This paper examines the extent of seasonal hunger and its food consumption vulnerability among rural households in the North West part of Bangladesh (i.e., the greater Rangpur region) and whether the Programmed Initiative for Monga Eradication or PRIME interventions (such as flexible micro-credit, Emergency loan and cash for work) have some positive impact for improving the consumption ordering of monga affected households or not. Seasonal hunger, also known as monga in greater Rangpur, is caused by a deprivation of food during certain months of the year when households do not have adequate employment, income, and savings. That is, monga is an ex post measure of seasonal deprivation of food. However, for policymaking purpose, knowing who are going to be in seasonal hunger in future is more important than knowing who already are. This ex post measure of seasonal food deprivation through the changes in consumption ordering in two years- 2008 and 2007 can be defined as food consumption vulnerability. That is, vulnerability to seasonal hunger is the likelihood of remaining in or falling into seasonal hunger. Households smooth consumption via income smoothing and other measures, which also reduce their vulnerability to monga. When consumption smoothing does not happen for one reason or another, food deprivation is sure to follow.Poverty, Microfinance, Impact Analysis, Food Consumption Vulnerability,

Optical wave evolution due to interaction with elastic wave in a phoxonic crystal slab waveguide

Phoxonic crystal as a means of guiding and confining electromagnetic and elastic waves has already attracted attentions. Lack of exact knowledge on how these two types of waves interact inside this crystal and how electromagnetic wave evolves through this interaction has increased this field complexity. Here we explain how an elastic wave affects an electromagnetic wave through photo-elasticity and interface displacement mechanisms in a phoxonic crystal slab waveguide. We obtain a master equation which can describe electromagnetic wave evolution. In this equation we define a coupling parameter and calculate its value for different modes of electromagnetic and elastic waves and show it vanishes for some types of modes . Finally we solve the master equation for a typical phoxonic crystal slab waveguide and illustrate the electromagnetic wave evolution